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Applied Statistics: Module 4
Complete the Module Four problem set in MyStatLab. See Instructor Tips in MyStatLab for video solutions for select problem ...
Applied Statistics: Module 4
Complete the Module Four problem set in MyStatLab. See Instructor Tips in MyStatLab for video solutions for select problems. In the Module Four problem set, video solutions are available for problem numbers 5, 8, 10, and 13.Click on the MyStatLab link on the left-side navigation to access this resource. You are allowed unlimited attempts to complete this assignment.
MAT 240 Southern New Hampshire Gender Representation in a Movie Questions
I need some assistance with the below assignment: MAT-240 Applied Statistics In this module discussion, you will take on ...
MAT 240 Southern New Hampshire Gender Representation in a Movie Questions
I need some assistance with the below assignment: MAT-240 Applied Statistics In this module discussion, you will take on the role of Susan, a high school principal. She is planning on having a large movie night for the high school. She has received a lot of feedback on which movie to show and sees differences in movie preferences by gender and also by grade level. She knows if the wrong movie is shown, it could reduce event turnout by 50%. She would like to maximize the number of students who attend and would like to select a PG-rated movie based on the overall student population’s movie preferences. Each student is assigned a classroom with other students in their grade. She has a spreadsheet that lists the names of each student, their classroom, and their grade. Susan knows a simple random sample would provide a good representation of the population of students at their high school, but wonders if a different method would be better. You can review the student demographics at attachment: Describe an example of a sample of this student population that would not represent the population well. Describe another example of a sample that would represent the population well. Finally, describe the relationship of a sample to a population and classify your two samples as random, cluster, stratified, or convenience.
The major shopping areas in the community of Springdale include Springdale Mall, assignment help
See below for assignment. (I check for plagiarism using TurnItIn)InstructionsThe major shopping areas in the com ...
The major shopping areas in the community of Springdale include Springdale Mall, assignment help
See below for assignment. (I check for plagiarism using TurnItIn)InstructionsThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.In this exercise, some of the estimation techniques presented in the module will be applied to the Springfield Shopping survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.Managers associated with shopping areas like these find it useful to have point estimates regarding variables describing the characteristics and behaviors of their customers. In addition, it is helpful for them to have some idea as to the likely accuracy of these estimates. Therein lies the benefit of the techniques presented in this module and applied here.1. Item C in the description of the data collection instrument lists variables 7, 8, and 9, which represent the respondent’s general attitude toward each of the three shopping areas. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.Determine the point estimate, then construct the 95% confidence interval for μ7= the average attitude toward Springdale Mall.Repeat part (a) for μ8 and μ9, the average attitudes toward Downtown and West Mall, respectively.Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, construct the 95% confidence interval for π26= the population proportion of males.Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for π28 = the population proportion in the “single or other” category.Assume the managers have requested estimates of the mean attitudes towards each mall with a margin of error of 0.05 for each mall. If the managers want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample size be for each mall?Paper RequirementsWrite a report that uses APA Requirements. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page too. Please include any tables of calculations, calculated values and graphs associated with this problem in the body of your assignment response.NOTE: You MUST submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.7 day
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of t ...
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.Datahttps://www.statcrunch.com/app/?dataid=3748367&tok... use this link for the data!!!!!PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
PSY520 San Diego State University Correlation and Regression Project
Select at least three variables that you believe have a linear relationship. Specify how you will measure ...
PSY520 San Diego State University Correlation and Regression Project
Select at least three variables that you believe have a linear relationship. Specify how you will measure each of these variables (i.e., what instrument will you use and provide an APA reference for the instrument) Collect the data for these variables and describe the data collection technique and why it was appropriate as well as why the sample size was best. Submit the data collected by submitting the SPSS data file with your submission. Find the Correlation coefficient for each of the possible pairings of variables and describe the relationship in terms of strength and direction. Find a linear model of the relationship between the three (or more) variables of interest. Identify the predictor variables and the criterion variable. Provide an output of the SPSS results and interpret the results using correct APA style.
Statistics on Excel, statistics homework help
Attached is a computer assignment and it is due May 4th. Please make sure to give all your answers on the Excel shee ...
Statistics on Excel, statistics homework help
Attached is a computer assignment and it is due May 4th. Please make sure to give all your answers on the Excel sheets (Pages 1-5),
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Most Popular Content
Applied Statistics: Module 4
Complete the Module Four problem set in MyStatLab. See Instructor Tips in MyStatLab for video solutions for select problem ...
Applied Statistics: Module 4
Complete the Module Four problem set in MyStatLab. See Instructor Tips in MyStatLab for video solutions for select problems. In the Module Four problem set, video solutions are available for problem numbers 5, 8, 10, and 13.Click on the MyStatLab link on the left-side navigation to access this resource. You are allowed unlimited attempts to complete this assignment.
MAT 240 Southern New Hampshire Gender Representation in a Movie Questions
I need some assistance with the below assignment: MAT-240 Applied Statistics In this module discussion, you will take on ...
MAT 240 Southern New Hampshire Gender Representation in a Movie Questions
I need some assistance with the below assignment: MAT-240 Applied Statistics In this module discussion, you will take on the role of Susan, a high school principal. She is planning on having a large movie night for the high school. She has received a lot of feedback on which movie to show and sees differences in movie preferences by gender and also by grade level. She knows if the wrong movie is shown, it could reduce event turnout by 50%. She would like to maximize the number of students who attend and would like to select a PG-rated movie based on the overall student population’s movie preferences. Each student is assigned a classroom with other students in their grade. She has a spreadsheet that lists the names of each student, their classroom, and their grade. Susan knows a simple random sample would provide a good representation of the population of students at their high school, but wonders if a different method would be better. You can review the student demographics at attachment: Describe an example of a sample of this student population that would not represent the population well. Describe another example of a sample that would represent the population well. Finally, describe the relationship of a sample to a population and classify your two samples as random, cluster, stratified, or convenience.
The major shopping areas in the community of Springdale include Springdale Mall, assignment help
See below for assignment. (I check for plagiarism using TurnItIn)InstructionsThe major shopping areas in the com ...
The major shopping areas in the community of Springdale include Springdale Mall, assignment help
See below for assignment. (I check for plagiarism using TurnItIn)InstructionsThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.In this exercise, some of the estimation techniques presented in the module will be applied to the Springfield Shopping survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.Managers associated with shopping areas like these find it useful to have point estimates regarding variables describing the characteristics and behaviors of their customers. In addition, it is helpful for them to have some idea as to the likely accuracy of these estimates. Therein lies the benefit of the techniques presented in this module and applied here.1. Item C in the description of the data collection instrument lists variables 7, 8, and 9, which represent the respondent’s general attitude toward each of the three shopping areas. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.Determine the point estimate, then construct the 95% confidence interval for μ7= the average attitude toward Springdale Mall.Repeat part (a) for μ8 and μ9, the average attitudes toward Downtown and West Mall, respectively.Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, construct the 95% confidence interval for π26= the population proportion of males.Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for π28 = the population proportion in the “single or other” category.Assume the managers have requested estimates of the mean attitudes towards each mall with a margin of error of 0.05 for each mall. If the managers want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample size be for each mall?Paper RequirementsWrite a report that uses APA Requirements. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page too. Please include any tables of calculations, calculated values and graphs associated with this problem in the body of your assignment response.NOTE: You MUST submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.7 day
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of t ...
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.Datahttps://www.statcrunch.com/app/?dataid=3748367&tok... use this link for the data!!!!!PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
PSY520 San Diego State University Correlation and Regression Project
Select at least three variables that you believe have a linear relationship. Specify how you will measure ...
PSY520 San Diego State University Correlation and Regression Project
Select at least three variables that you believe have a linear relationship. Specify how you will measure each of these variables (i.e., what instrument will you use and provide an APA reference for the instrument) Collect the data for these variables and describe the data collection technique and why it was appropriate as well as why the sample size was best. Submit the data collected by submitting the SPSS data file with your submission. Find the Correlation coefficient for each of the possible pairings of variables and describe the relationship in terms of strength and direction. Find a linear model of the relationship between the three (or more) variables of interest. Identify the predictor variables and the criterion variable. Provide an output of the SPSS results and interpret the results using correct APA style.
Statistics on Excel, statistics homework help
Attached is a computer assignment and it is due May 4th. Please make sure to give all your answers on the Excel shee ...
Statistics on Excel, statistics homework help
Attached is a computer assignment and it is due May 4th. Please make sure to give all your answers on the Excel sheets (Pages 1-5),
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